ZodiPy is an package for simulating zodiacal light in intensity for arbitrary solar system observers.

PypeIt is a Python package for semi-automated reduction of astronomical spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers.

It is designed to be used by both advanced spectroscopists with prior data reduction expertise and astronomers with no prior experience of data reduction. It is highly configurable and designed to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well as cross-dispersed echelle spectra.

CAMB is a cosmology code for calculating cosmological observables, including CMB, lensing, source count and 21cm angular power spectra, matter power spectra, transfer functions and background evolution. The code is in Python, with numerical code implemented in fast modern Fortran.

The spherical_geometry library is a Python package for handling spherical polygons that represent arbitrary regions of the sky.

Tempo analyzes pulsar timing data. Pulse times of arrival (TOAs), pulsar model parameters, and coded instructions are read from one or more input files. The TOAs are fitted by a pulse timing model incorporating transformation to the solar-system barycenter, pulsar rotation and spin-down and, where necessary, one of several binary models. Program output includes parameter values and uncertainties, residual pulse arrival times, chi-squared statistics, and the covariance matrix of the model. In prediction mode,ephemerides of pulse phase behavior (in the form of polynomial expansions) are calculated from input timing models.

SExtractor is a program that builds a catalogue of objects from an astronomical image. Although it is particularly oriented towards reduction of large scale galaxy-survey data, it can perform reasonably well on moderately crowded star fields.

AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. It can make use of Lua scripts to make flagging strategies flexible, and the tools are applicable to a wide set of telescopes.

This package provides data content for Celestia.

• Scientific Data Base

• Texture maps

• 3D Models

HEALPix of a sphere produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. This package provides the dynamic library for the C++ language implementation of HEALPix.

This package provides an access to the JWST Science Calibration Pipeline processes data from all JWST instruments and observing modes by applying various science corrections sequentially, producing both fully-calibrated individual exposures and high-level data products (mosaics, extracted spectra, etc.).

specutils is a Python package for representing, loading, manipulating,and analyzing astronomical spectroscopic data. The generic data containers and accompanying modules provide a toolbox that the astronomical community can use to build more domain-specific packages. For more details about the underlying principles, see APE13.

Cobaya, and Spanish for Guinea Pig) is a framework for sampling and statistical modelling: it allows you to explore an arbitrary prior or posterior using a range of Monte Carlo samplers (including the advanced MCMC sampler from CosmoMC, and the advanced nested sampler PolyChord). The results of the sampling can be analysed with GetDist. It supports MPI parallelization (and very soon HPC containerization with Docker/Shifter and Singularity).

EsoRex is the European Southern Observatory Recipe Execution Tool. It can list, configure and execute Common Pipeline Library-based recipes from the command line.

sbpy is a package for small-body planetary astronomy. It is meant to supplement functionality provided by astropy with functions and methods that are frequently used in the context of planetary astronomy with a clear focus on asteroids and comets. Features:

• observation planning tools tailored to moving objects

• photometry models for resolved and unresolved observations

• wrappers and tools for astrometry and orbit fitting

• spectroscopy analysis tools and models for reflected solar light and emission from gas

• cometary gas and dust coma simulation and analysis tools

• asteroid thermal models for flux estimation and size/albedo estimation

• image enhancement tools for comet comae and PSF subtraction tools

• lightcurve and shape analysis tools

• access tools for various databases for orbital and physical data, as well as ephemerides services

This package contains FIT and CSV files required for WebbPSF installation and distributed separately from it.

Generalized World Coordinate System (GWCS) is an Astropy affiliated package providing tools for managing the World Coordinate System of astronomical data.

GWCS takes a general approach to the problem of expressing transformations between pixel and world coordinates. It supports a data model which includes the entire transformation pipeline from input coordinates (detector by default) to world coordinates.

Python Tools for HST ACS (Advanced Camera for Surveys) Data.

POLIASTRO is a Python library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. It provides a simple and intuitive API, and handles physical quantities with units.

Some features include orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, among others. It focuses on interplanetary applications, but can also be used to analyze artificial satellites in Low-Earth Orbit (LEO).

Astral is a Python module that calculates times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevation, solar azimuth, rahukaalam, and the phases of the moon.

This package provides a a simple program to predict the levels of background emission in JWST observations, for use in proposal planning.

It accesses a precompiled background cache prepared by Space Telescope Science Institute. The background cache is hosted by the Mikulski Archive for Space Telescopes (MAST), so you need internet access to run the tool with the remote cache. It is possible to download the full background cache to your local machine.

libskry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many thousands) low quality ones

astrodata is a package for managing astronomical data through a uniform interface. It is designed to be used with the Astropy package. astrodata was created for use as part of the DRAGONS data reduction pipeline, but it is now implemented to be useful for any astronomical data reduction or analysis project.

Unlike managing files using the astropy.io.fits package alone, astrodata is designed to be extendible to any data format, and to parse, respond to, and store metadata in a consistent, intentional way. This makes it especially useful for managing data from multiple instruments, telescopes, and data generation utilities.

This package provides base classes and command-line tools for implementing calibration pipeline software.

aiapy is a Python package for analyzing data from the AIA instrument onboard NASA's SDO spacecraft.